LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
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2309.06440
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Published
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9
Robot
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Robotic Table Tennis: A Case Study into a High Speed Learning System
Paper • 2309.03315 • Published • 6 -
Video Language Planning
Paper • 2310.10625 • Published • 9 -
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Paper • 2311.01455 • Published • 28 -
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
Paper • 2311.00899 • Published • 7 -
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
Paper • 2401.17583 • Published • 25 -
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
Paper • 2402.11450 • Published • 21 -
Humanoid Locomotion as Next Token Prediction
Paper • 2402.19469 • Published • 26 -
MOSAIC: A Modular System for Assistive and Interactive Cooking
Paper • 2402.18796 • Published • 23 -
3D Diffusion Policy
Paper • 2403.03954 • Published • 11
RVT-2: Learning Precise Manipulation from Few Demonstrations
Paper • 2406.08545 • Published • 7Note RVT-2透過架構與系統層面的改進，大幅提升了3D操作任務的效率與精度。該系統能在少量示範下學習並解決多種高精度任務，展示了優越的真實世界應用性能。相關代碼和模型已公開，有助於未來研究與應用。
OpenVLA: An Open-Source Vision-Language-Action Model
Paper • 2406.09246 • Published • 36Note OpenVLA作為一個開源的視覺-語言-行動模型，展示了在多任務機器人操控中的強大性能及泛化能力，並通過高效的微調和量化技術，使其能在消費級硬件上運行。這為未來的機器人研究和應用提供了一個強大的基礎。
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IRASim: Learning Interactive Real-Robot Action Simulators
Paper • 2406.14540 • Published • 6 -
GRUtopia: Dream General Robots in a City at Scale
Paper • 2407.10943 • Published • 23 -
Lessons from Learning to Spin "Pens"
Paper • 2407.18902 • Published • 20 -
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Paper • 2407.20179 • Published • 46 -
Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
Paper • 2407.20798 • Published • 23 -
UniT: Unified Tactile Representation for Robot Learning
Paper • 2408.06481 • Published • 9 -
TacSL: A Library for Visuotactile Sensor Simulation and Learning
Paper • 2408.06506 • Published • 7 -
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
Paper • 2408.08441 • Published • 7 -
RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning
Paper • 2409.14674 • Published • 41